DocumentCode
1040417
Title
Designing stabilizing control of uncertain systems by quasiconvex optimization
Author
Gu, Keqin
Author_Institution
Dept. of Mech. & Ind. Eng., Southern Illinois Univ., Edwardsville, IL, USA
Volume
39
Issue
1
fYear
1994
fDate
1/1/1994 12:00:00 AM
Firstpage
127
Lastpage
131
Abstract
The design of stabilizing linear output feedback control of uncertain systems is a computationally demanding optimization problem as local minima may exist which are distinct from the global minimum. However, in some special cases, quasiconvexity can be proven through a simple redefinition of variables and/or a reformulation of the problem in the dual form. Such special cases include state feedback control for both discrete and continuous time systems
Keywords
control system synthesis; duality (mathematics); feedback; linear systems; stability; dual form; global minimum; local minima; quasiconvex optimization; quasiconvexity; stabilizing control design; stabilizing linear output feedback control; state feedback control; uncertain systems; Control systems; Design optimization; Linear feedback control systems; Linear systems; Output feedback; Riccati equations; State feedback; Sufficient conditions; Uncertain systems; Uncertainty;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.273348
Filename
273348
Link To Document